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If you possess deep expertise that would be useful to data scientists, engineers or executives, apply to join our training platform.

If you possess deep expertise that would be useful to data scientists, engineers or executives, apply to join our training platform.
Propose a course within an existing track or propose a new track altogether. There is an interest in a wide range of courses--from methodology and big picture thinking to programming languages and databases.
Experfy Training platform provides tools to help you organize your course. We also provide free video editing assistance once your course has been approved.
Experfy delivers your course to people around the globe, while you earn top dollars for your expertise.
We handle all the hosting, billing and customer service so you may focus on teaching.
Our course mentors help you understand the course creation processes and also help you with video editing.
Experfy also runs a successful marketplace where you can find consulting opportunities and ideas for your courses.
David N. Sanchez has 14 years of experience in industry software development and statistics. He has worked in many industries including health care and health insurance (Sierra Health/Health Plan of Nevada), higher learning (California State University, Fullerton), real estate and finance (First American Title Software), and communications (Flash of Genius/UpdatePromise). Currently he works with various clients developing machine learning applications and consulting on data infrastructures. This includes hands on work with Python, R, cloud technologies such as AWS Redshift, NOSQL technologies such as MongoDB and ElasticSearch, and visualization technologies such as d3.js. David has an M.S. in Computer Science from California State University, Fullerton with an emphasis in bioinformatics and machine learning.
Ajay specializes in transforming organizations to be more “analytics driven”. He has over 27 years of experience in data and analytics industry developing solutions and mentoring professionals from a large spectrum of domains ranging from students to Fortune 500 employees. Starting in 2010, he has incubated and grew a global big data and analytics organization serving insurance and healthcare customers of the 6th largest IT services company in the world.
Peter Chen is an analytics and data science professional that has an eclectic and deep background. He has previously worked in various senior positions at companies such as Algebraix Data, Petco, Mitchell International, Sempra Energy ,etc. He has been profiled in various media articles (“A Confession of a Data Miner”) about his analytics and data mining experience. He is widely published in industry trade magazines about analytics & data science. Peter received his BS in Management Science from the Massachusetts Institute of Technology/Sloan School of Management, his Masters in General Management from Harvard and is currently working on his second Masters in Software Engineering/Data Science at Harvard.
Bill Shander is Founder of Beehive Media, a Boston-based data visualization and information design consultancy. Bill specializes in creating interactive experiences for thought leadership, research, advocacy, and knowledge management. Clients over the years have included the World Bank, United Nations, PricewaterhouseCoopers, Harvard University, Facebook, and the EPA.